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Quantitive Evaluation of Web site Content and Structure

Bauer, Christian and Scharl, Arno (2000) Quantitive Evaluation of Web site Content and Structure. Internet Research, 10 (1). pp. 31-44. ISSN 1066-2243

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Abstract

Describes an approach automatically to classify and evaluate publicly accessible World Wide Web sites. The suggested methodology is equally valuable for analyzing content and hypertext structures of commercial, educational and nonprofit organizations. Outlines a research methodology for model building and validation and defines the most relevant attributes of such a process. A set of operational criteria for classifying Web sites is developed. The introduced software tool supports the automated gathering of these parameters, and thereby assures the necessary ``critical mass'' of empirical data. Based on the preprocessed information, a multi-methodological approach is chosen that comprises statistical clustering, textual analysis, supervised and nonsupervised neural networks and manual classification for validation purposes.

Item Type:Article
Uncontrolled Keywords:Web site classification, Neural networks, Non-profit Organizations
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
ID Code:60
Deposited By: Prof Dr Arno Scharl
Deposited On:24 Nov 2012 10:16
Last Modified:24 Nov 2012 10:16

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